Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	186123
Missing cells	108933
Missing cells (%)	2.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.7 MiB
Average record size in memory	111.0 B

Variable types

Categorical	4
Text	3
Numeric	9
Boolean	4

Alerts

`firing_type` has a high cardinality: 107 distinct values	High cardinality
`firing_type` is highly imbalanced (66.4%)	Imbalance
`flat_type` has 25049 (13.5%) missing values	Missing
`telekom_uploadspeed` has 22095 (11.9%) missing values	Missing
`firing_type` has 35948 (19.3%) missing values	Missing
`heating_type` has 25841 (13.9%) missing values	Missing
`immoscout_id` has unique values	Unique
`floor` has 20974 (11.3%) zeros	Zeros
`service_charge` has 2265 (1.2%) zeros	Zeros

Reproduction

Analysis started	2024-04-15 20:21:42.498209
Analysis finished	2024-04-15 20:21:56.255641
Duration	13.76 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

bundesland
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Sachsen	43498
Nordrhein_Westfalen	42173
Sachsen_Anhalt	15816
Bayern	14492
Hessen	11277
Other values (11)	58867

Length

Max length	22
Median length	18
Mean length	12.091708
Min length	6

Characters and Unicode

Total characters	2250545
Distinct characters	36
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nordrhein_Westfalen
2nd row	Sachsen
3rd row	Bremen
4th row	Sachsen
5th row	Baden_WÃ¼rttemberg

Common Values

Value	Count	Frequency (%)
Sachsen	43498	23.4%
Nordrhein_Westfalen	42173	22.7%
Sachsen_Anhalt	15816	8.5%
Bayern	14492	7.8%
Hessen	11277	6.1%
Baden_WÃ¼rttemberg	10019	5.4%
Niedersachsen	9122	4.9%
Berlin	8638	4.6%
ThÃ¼ringen	5987	3.2%
Brandenburg	5578	3.0%
Other values (6)	19523	10.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sachsen	43498	23.4%
nordrhein_westfalen	42173	22.7%
sachsen_anhalt	15816	8.5%
bayern	14492	7.8%
hessen	11277	6.1%
baden_wã¼rttemberg	10019	5.4%
niedersachsen	9122	4.9%
berlin	8638	4.6%
thã¼ringen	5987	3.2%
brandenburg	5578	3.0%
Other values (6)	19523	10.5%

Most occurring characters

Value	Count	Frequency (%)
e	333346	14.8%
n	262916	11.7%
r	174158	7.7%
a	170619	7.6%
s	151041	6.7%
h	141574	6.3%
l	90621	4.0%
t	82405	3.7%
_	82179	3.7%
i	79460	3.5%
Other values (26)	682226	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1868052	83.0%
Uppercase Letter	284308	12.6%
Connector Punctuation	82179	3.7%
Other Number	16006	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	333346	17.8%
n	262916	14.1%
r	174158	9.3%
a	170619	9.1%
s	151041	8.1%
h	141574	7.6%
l	90621	4.9%
t	82405	4.4%
i	79460	4.3%
c	77823	4.2%
Other values (12)	304089	16.3%

Uppercase Letter

Value	Count	Frequency (%)
S	64353	22.6%
W	52192	18.4%
N	51295	18.0%
B	40864	14.4%
H	18209	6.4%
Ã	16006	5.6%
A	15816	5.6%
T	5987	2.1%
M	5009	1.8%
V	5009	1.8%
Other values (2)	9568	3.4%

Connector Punctuation

Value	Count	Frequency (%)
_	82179	100.0%

Other Number

Value	Count	Frequency (%)
¼	16006	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2152360	95.6%
Common	98185	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	333346	15.5%
n	262916	12.2%
r	174158	8.1%
a	170619	7.9%
s	151041	7.0%
h	141574	6.6%
l	90621	4.2%
t	82405	3.8%
i	79460	3.7%
c	77823	3.6%
Other values (24)	588397	27.3%

Common

Value	Count	Frequency (%)
_	82179	83.7%
¼	16006	16.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2218533	98.6%
None	32012	1.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	333346	15.0%
n	262916	11.9%
r	174158	7.9%
a	170619	7.7%
s	151041	6.8%
h	141574	6.4%
l	90621	4.1%
t	82405	3.7%
_	82179	3.7%
i	79460	3.6%
Other values (24)	650214	29.3%

None

Value	Count	Frequency (%)
Ã	16006	50.0%
¼	16006	50.0%

city
Text

Distinct	419
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Length

Max length	39
Median length	28
Mean length	11.713727
Min length	3

Characters and Unicode

Total characters	2180194
Distinct characters	54
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dortmund
2nd row	Dresden
3rd row	Bremen
4th row	Mittelsachsen_Kreis
5th row	Emmendingen_Kreis

Value	Count	Frequency (%)
leipzig	10808	5.8%
chemnitz	9335	5.0%
berlin	8638	4.6%
dresden	5373	2.9%
magdeburg	4212	2.3%
halle_saale	3585	1.9%
mã¼nchen	3344	1.8%
essen	2993	1.6%
frankfurt_am_main	2889	1.6%
dã¼sseldorf	2792	1.5%
Other values (409)	132154	71.0%

Most occurring characters

Value	Count	Frequency (%)
e	287831	13.2%
r	200632	9.2%
i	185861	8.5%
s	150386	6.9%
n	142913	6.6%
a	109890	5.0%
_	108756	5.0%
K	74921	3.4%
l	74013	3.4%
g	66504	3.1%
Other values (44)	778487	35.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1724090	79.1%
Uppercase Letter	321952	14.8%
Connector Punctuation	108756	5.0%
Other Number	14395	0.7%
Other Punctuation	7411	0.3%
Currency Symbol	3590	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
K	74921	23.3%
Ã	29673	9.2%
M	25188	7.8%
B	23096	7.2%
S	20129	6.3%
L	18570	5.8%
H	17129	5.3%
D	16953	5.3%
R	12794	4.0%
C	11060	3.4%
Other values (15)	72439	22.5%

Lowercase Letter

Value	Count	Frequency (%)
e	287831	16.7%
r	200632	11.6%
i	185861	10.8%
s	150386	8.7%
n	142913	8.3%
a	109890	6.4%
l	74013	4.3%
g	66504	3.9%
t	64357	3.7%
u	63822	3.7%
Other values (14)	377881	21.9%

Other Punctuation

Value	Count	Frequency (%)
¶	7337	99.0%
.	74	1.0%

Connector Punctuation

Value	Count	Frequency (%)
_	108756	100.0%

Other Number

Value	Count	Frequency (%)
¼	14395	100.0%

Currency Symbol

Value	Count	Frequency (%)
¤	3590	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2046042	93.8%
Common	134152	6.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	287831	14.1%
r	200632	9.8%
i	185861	9.1%
s	150386	7.4%
n	142913	7.0%
a	109890	5.4%
K	74921	3.7%
l	74013	3.6%
g	66504	3.3%
t	64357	3.1%
Other values (39)	688734	33.7%

Common

Value	Count	Frequency (%)
_	108756	81.1%
¼	14395	10.7%
¶	7337	5.5%
¤	3590	2.7%
.	74	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2120848	97.3%
None	59346	2.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	287831	13.6%
r	200632	9.5%
i	185861	8.8%
s	150386	7.1%
n	142913	6.7%
a	109890	5.2%
_	108756	5.1%
K	74921	3.5%
l	74013	3.5%
g	66504	3.1%
Other values (39)	719141	33.9%

None

Value	Count	Frequency (%)
Ã	29673	50.0%
¼	14395	24.3%
¶	7337	12.4%
Ÿ	4351	7.3%
¤	3590	6.0%

district
Text

Distinct	7635
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Length

Max length	49
Median length	38
Mean length	11.374505
Min length	2

Characters and Unicode

Total characters	2117057
Distinct characters	70
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1582 ?
Unique (%)	0.8%

Sample

1st row	SchÃ¼ren
2nd row	Ã„uÃŸere_Neustadt_Antonstadt
3rd row	Neu_Schwachhausen
4th row	Freiberg
5th row	Denzlingen

Value	Count	Frequency (%)
innenstadt	3132	1.7%
stadtmitte	1972	1.1%
altstadt	1776	1.0%
sonnenberg	1499	0.8%
kaãÿberg	1317	0.7%
mitte	1071	0.6%
schloãÿchemnitz	993	0.5%
hilbersdorf	977	0.5%
sã¼dstadt	857	0.5%
zentrum	797	0.4%
Other values (7625)	171732	92.3%

Most occurring characters

Value	Count	Frequency (%)
e	267900	12.7%
n	155124	7.3%
r	153922	7.3%
t	151118	7.1%
a	122662	5.8%
i	101955	4.8%
d	97043	4.6%
s	96948	4.6%
l	86341	4.1%
h	81361	3.8%
Other values (60)	802683	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1718070	81.2%
Uppercase Letter	295621	14.0%
Connector Punctuation	61592	2.9%
Other Punctuation	20538	1.0%
Other Number	18435	0.9%
Currency Symbol	2205	0.1%
Open Punctuation	272	< 0.1%
Decimal Number	172	< 0.1%
Dash Punctuation	152	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Ã	42256	14.3%
S	33300	11.3%
B	21721	7.3%
N	18508	6.3%
H	16830	5.7%
W	16412	5.6%
M	15909	5.4%
L	13253	4.5%
G	12381	4.2%
A	10854	3.7%
Other values (18)	94197	31.9%

Lowercase Letter

Value	Count	Frequency (%)
e	267900	15.6%
n	155124	9.0%
r	153922	9.0%
t	151118	8.8%
a	122662	7.1%
i	101955	5.9%
d	97043	5.6%
s	96948	5.6%
l	86341	5.0%
h	81361	4.7%
Other values (17)	403696	23.5%

Other Punctuation

Value	Count	Frequency (%)
¶	13493	65.7%
/	5476	26.7%
.	949	4.6%
&	411	2.0%
,	209	1.0%

Decimal Number

Value	Count	Frequency (%)
1	59	34.3%
5	42	24.4%
4	35	20.3%
2	18	10.5%
3	18	10.5%

Connector Punctuation

Value	Count	Frequency (%)
_	61592	100.0%

Other Number

Value	Count	Frequency (%)
¼	18435	100.0%

Currency Symbol

Value	Count	Frequency (%)
¤	2205	100.0%

Open Punctuation

Value	Count	Frequency (%)
„	272	100.0%

Dash Punctuation

Value	Count	Frequency (%)
–	152	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2013691	95.1%
Common	103366	4.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	267900	13.3%
n	155124	7.7%
r	153922	7.6%
t	151118	7.5%
a	122662	6.1%
i	101955	5.1%
d	97043	4.8%
s	96948	4.8%
l	86341	4.3%
h	81361	4.0%
Other values (45)	699317	34.7%

Common

Value	Count	Frequency (%)
_	61592	59.6%
¼	18435	17.8%
¶	13493	13.1%
/	5476	5.3%
¤	2205	2.1%
.	949	0.9%
&	411	0.4%
„	272	0.3%
,	209	0.2%
–	152	0.1%
Other values (5)	172	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2032545	96.0%
None	84088	4.0%
Punctuation	424	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	267900	13.2%
n	155124	7.6%
r	153922	7.6%
t	151118	7.4%
a	122662	6.0%
i	101955	5.0%
d	97043	4.8%
s	96948	4.8%
l	86341	4.2%
h	81361	4.0%
Other values (52)	718171	35.3%

None

Value	Count	Frequency (%)
Ã	42256	50.3%
¼	18435	21.9%
¶	13493	16.0%
Ÿ	7447	8.9%
¤	2205	2.6%
œ	252	0.3%

Punctuation

Value	Count	Frequency (%)
„	272	64.2%
–	152	35.8%

street
Text

Distinct	42737
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Length

Max length	89
Median length	54
Mean length	16.861871
Min length	1

Characters and Unicode

Total characters	3138382
Distinct characters	85
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24774 ?
Unique (%)	13.3%

Sample

1st row	Schüruferstraße
2nd row	Turnerweg
3rd row	Hermann-Henrich-Meier-Allee
4th row	Am Bahnhof
5th row	no_information

Value	Count	Frequency (%)
no_information	37835	16.0%
straße	16053	6.8%
str	10541	4.4%
am	4788	2.0%
der	1952	0.8%
weg	1810	0.8%
an	1177	0.5%
im	925	0.4%
strasse	804	0.3%
hauptstraße	760	0.3%
Other values (37522)	160232	67.6%

Most occurring characters

Value	Count	Frequency (%)
r	290379	9.3%
e	280415	8.9%
i	219963	7.0%
n	215897	6.9%
t	212531	6.8%
s	197042	6.3%
a	194188	6.2%
o	164524	5.2%
l	156832	5.0%
g	112664	3.6%
Other values (75)	1093947	34.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2546427	81.1%
Uppercase Letter	239427	7.6%
Other Punctuation	216656	6.9%
Space Separator	50826	1.6%
Dash Punctuation	45873	1.5%
Connector Punctuation	37863	1.2%
Decimal Number	1220	< 0.1%
Close Punctuation	41	< 0.1%
Open Punctuation	41	< 0.1%
Math Symbol	2	< 0.1%
Other values (5)	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	290379	11.4%
e	280415	11.0%
i	219963	8.6%
n	215897	8.5%
t	212531	8.3%
s	197042	7.7%
a	194188	7.6%
o	164524	6.5%
l	156832	6.2%
g	112664	4.4%
Other values (18)	501992	19.7%

Uppercase Letter

Value	Count	Frequency (%)
S	64317	26.9%
B	16623	6.9%
H	16393	6.8%
A	15868	6.6%
W	12744	5.3%
K	12639	5.3%
L	10942	4.6%
M	10572	4.4%
R	10545	4.4%
G	10166	4.2%
Other values (17)	58618	24.5%

Decimal Number

Value	Count	Frequency (%)
1	274	22.5%
5	161	13.2%
4	147	12.0%
2	128	10.5%
3	122	10.0%
9	84	6.9%
6	82	6.7%
8	81	6.6%
7	79	6.5%
0	62	5.1%

Other Punctuation

Value	Count	Frequency (%)
;	87572	40.4%
&	87569	40.4%
.	41267	19.0%
,	125	0.1%
/	115	0.1%
:	3	< 0.1%
¿	2	< 0.1%
*	2	< 0.1%
?	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	50826	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	45873	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	37863	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	41	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	41	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Other Number

Value	Count	Frequency (%)
½	2	100.0%

Currency Symbol

Value	Count	Frequency (%)
€	1	100.0%

Modifier Symbol

Value	Count	Frequency (%)
^	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Other Letter

Value	Count	Frequency (%)
ª	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2785855	88.8%
Common	352527	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	290379	10.4%
e	280415	10.1%
i	219963	7.9%
n	215897	7.7%
t	212531	7.6%
s	197042	7.1%
a	194188	7.0%
o	164524	5.9%
l	156832	5.6%
g	112664	4.0%
Other values (46)	741420	26.6%

Common

Value	Count	Frequency (%)
;	87572	24.8%
&	87569	24.8%
	50826	14.4%
-	45873	13.0%
.	41267	11.7%
_	37863	10.7%
1	274	0.1%
5	161	< 0.1%
4	147	< 0.1%
2	128	< 0.1%
Other values (19)	847	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3138371	> 99.9%
None	9	< 0.1%
Currency Symbols	1	< 0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	290379	9.3%
e	280415	8.9%
i	219963	7.0%
n	215897	6.9%
t	212531	6.8%
s	197042	6.3%
a	194188	6.2%
o	164524	5.2%
l	156832	5.0%
g	112664	3.6%
Other values (67)	1093936	34.9%

None

Value	Count	Frequency (%)
¿	2	22.2%
ï	2	22.2%
½	2	22.2%
Å	1	11.1%
â	1	11.1%
ª	1	11.1%

Currency Symbols

Value	Count	Frequency (%)
€	1	100.0%

Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

zip_code
Real number (ℝ)

Distinct	6884
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35642.157

Minimum	852
Maximum	99994
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	852
5-th percentile	2625
Q1	9113
median	35796
Q3	53844
95-th percentile	87700
Maximum	99994
Range	99142
Interquartile range (IQR)	44731

Descriptive statistics

Standard deviation	27816.579
Coefficient of variation (CV)	0.7804404
Kurtosis	-0.81335796
Mean	35642.157
Median Absolute Deviation (MAD)	25552
Skewness	0.50985073
Sum	6.6338252 × 10⁹
Variance	7.7376208 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9130	1558	0.8%
9126	1518	0.8%
9112	1244	0.7%
9131	1209	0.6%
9113	1107	0.6%
8056	836	0.4%
39112	774	0.4%
6217	764	0.4%
4157	761	0.4%
39108	720	0.4%
Other values (6874)	175632	94.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
852	1	< 0.1%
853	1	< 0.1%
1057	3	< 0.1%
1067	566	0.3%
1069	158	0.1%
1097	310	0.2%
1099	368	0.2%
1108	27	< 0.1%
1109	64	< 0.1%
1127	152	0.1%

Value	Count	Frequency (%)
99994	6	< 0.1%
99991	5	< 0.1%
99976	4	< 0.1%
99974	120	0.1%
99958	1	< 0.1%
99955	3	< 0.1%
99947	68	< 0.1%
99898	1	< 0.1%
99897	1	< 0.1%
99894	4	< 0.1%

has_kitchen
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

False	122177
True	63946

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	122177	65.6%
True	63946	34.4%

balcony
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

True	117961
False	68162

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	117961	63.4%
False	68162	36.6%

lift
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

False	140148
True	45975

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	140148	75.3%
True	45975	24.7%

garden
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

False	149127
True	36996

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	149127	80.1%
True	36996	19.9%

floor
Real number (ℝ)

ZEROS

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1089065

Minimum	-1
Maximum	45
Zeros	20974
Zeros (%)	11.3%
Negative	259
Negative (%)	0.1%
Memory size	2.8 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	45
Range	46
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.669126
Coefficient of variation (CV)	0.79146516
Kurtosis	18.089261
Mean	2.1089065
Median Absolute Deviation (MAD)	1
Skewness	2.4111115
Sum	392516
Variance	2.7859816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
1	54343	29.2%
2	48763	26.2%
3	32591	17.5%
0	20974	11.3%
4	17395	9.3%
5	6917	3.7%
6	2079	1.1%
7	894	0.5%
8	502	0.3%
9	371	0.2%
Other values (24)	1294	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	259	0.1%
0	20974	11.3%
1	54343	29.2%
2	48763	26.2%
3	32591	17.5%
4	17395	9.3%
5	6917	3.7%
6	2079	1.1%
7	894	0.5%
8	502	0.3%

Value	Count	Frequency (%)
45	1	< 0.1%
41	1	< 0.1%
36	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
29	2	< 0.1%
26	2	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
23	1	< 0.1%

flat_type
Categorical

MISSING

Distinct	10
Distinct (%)	< 0.1%
Missing	25049
Missing (%)	13.5%
Memory size	1.6 MiB

apartment	99518
roof_storey	23694
ground_floor	15942
other	6532
maisonette	6253
Other values (5)	9135

Length

Max length	19
Median length	9
Mean length	9.7160808
Min length	4

Characters and Unicode

Total characters	1565008
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ground_floor
2nd row	apartment
3rd row	apartment
4th row	roof_storey
5th row	apartment

Common Values

Value	Count	Frequency (%)
apartment	99518	53.5%
roof_storey	23694	12.7%
ground_floor	15942	8.6%
other	6532	3.5%
maisonette	6253	3.4%
raised_ground_floor	3128	1.7%
penthouse	2420	1.3%
terraced_flat	2228	1.2%
half_basement	734	0.4%
loft	625	0.3%
(Missing)	25049	13.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	99518	61.8%
roof_storey	23694	14.7%
ground_floor	15942	9.9%
other	6532	4.1%
maisonette	6253	3.9%
raised_ground_floor	3128	1.9%
penthouse	2420	1.5%
terraced_flat	2228	1.4%
half_basement	734	0.5%
loft	625	0.4%

Most occurring characters

Value	Count	Frequency (%)
t	250003	16.0%
a	214341	13.7%
r	199162	12.7%
e	156142	10.0%
o	144122	9.2%
n	127995	8.2%
m	106505	6.8%
p	101938	6.5%
_	48854	3.1%
f	46351	3.0%
Other values (10)	169595	10.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1516154	96.9%
Connector Punctuation	48854	3.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	250003	16.5%
a	214341	14.1%
r	199162	13.1%
e	156142	10.3%
o	144122	9.5%
n	127995	8.4%
m	106505	7.0%
p	101938	6.7%
f	46351	3.1%
s	36229	2.4%
Other values (9)	133366	8.8%

Connector Punctuation

Value	Count	Frequency (%)
_	48854	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1516154	96.9%
Common	48854	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	250003	16.5%
a	214341	14.1%
r	199162	13.1%
e	156142	10.3%
o	144122	9.5%
n	127995	8.4%
m	106505	7.0%
p	101938	6.7%
f	46351	3.1%
s	36229	2.4%
Other values (9)	133366	8.8%

Common

Value	Count	Frequency (%)
_	48854	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1565008	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	250003	16.0%
a	214341	13.7%
r	199162	12.7%
e	156142	10.0%
o	144122	9.2%
n	127995	8.2%
m	106505	6.8%
p	101938	6.5%
_	48854	3.1%
f	46351	3.0%
Other values (10)	169595	10.8%

telekom_uploadspeed
Real number (ℝ)

MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	22095
Missing (%)	11.9%
Infinite	0
Infinite (%)	0.0%
Mean	29.01464

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	1
5-th percentile	2.4
Q1	10
median	40
Q3	40
95-th percentile	40
Maximum	100
Range	99
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	16.263861
Coefficient of variation (CV)	0.56053982
Kurtosis	-1.0411583
Mean	29.01464
Median Absolute Deviation (MAD)	0
Skewness	-0.75085262
Sum	4759213.4
Variance	264.51318
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
40	111157	59.7%
2.4	29121	15.6%
10	22774	12.2%
5	689	0.4%
1	142	0.1%
100	116	0.1%
4	29	< 0.1%
(Missing)	22095	11.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	142	0.1%
2.4	29121	15.6%
4	29	< 0.1%
5	689	0.4%
10	22774	12.2%
40	111157	59.7%
100	116	0.1%

Value	Count	Frequency (%)
100	116	0.1%
40	111157	59.7%
10	22774	12.2%
5	689	0.4%
4	29	< 0.1%
2.4	29121	15.6%
1	142	0.1%

firing_type
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	107
Distinct (%)	0.1%
Missing	35948
Missing (%)	19.3%
Memory size	1.6 MiB

gas	76209
district_heating	38253
oil	11989
natural_gas_light	7811
electricity	3179
Other values (102)	12734

Length

Max length	187
Median length	3
Mean length	8.4514799
Min length	3

Characters and Unicode

Total characters	1269201
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	< 0.1%

Sample

1st row	oil
2nd row	gas
3rd row	oil
4th row	gas
5th row	gas

Common Values

Value	Count	Frequency (%)
gas	76209	40.9%
district_heating	38253	20.6%
oil	11989	6.4%
natural_gas_light	7811	4.2%
electricity	3179	1.7%
natural_gas_heavy	2934	1.6%
geothermal	1662	0.9%
pellet_heating	1660	0.9%
gas:electricity	906	0.5%
combined_heat_and_power_fossil_fuels	755	0.4%
Other values (97)	4817	2.6%
(Missing)	35948	19.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gas	76209	50.7%
district_heating	38253	25.5%
oil	11989	8.0%
natural_gas_light	7811	5.2%
electricity	3179	2.1%
natural_gas_heavy	2934	2.0%
geothermal	1662	1.1%
pellet_heating	1660	1.1%
gas:electricity	906	0.6%
combined_heat_and_power_fossil_fuels	755	0.5%
Other values (97)	4817	3.2%

Most occurring characters

Value	Count	Frequency (%)
a	163887	12.9%
t	156553	12.3%
i	154530	12.2%
g	142185	11.2%
s	132613	10.4%
_	72388	5.7%
e	71154	5.6%
r	60936	4.8%
n	58650	4.6%
h	57430	4.5%
Other values (15)	198875	15.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1194552	94.1%
Connector Punctuation	72388	5.7%
Other Punctuation	2261	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	163887	13.7%
t	156553	13.1%
i	154530	12.9%
g	142185	11.9%
s	132613	11.1%
e	71154	6.0%
r	60936	5.1%
n	58650	4.9%
h	57430	4.8%
c	50734	4.2%
Other values (13)	145880	12.2%

Connector Punctuation

Value	Count	Frequency (%)
_	72388	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	2261	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1194552	94.1%
Common	74649	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	163887	13.7%
t	156553	13.1%
i	154530	12.9%
g	142185	11.9%
s	132613	11.1%
e	71154	6.0%
r	60936	5.1%
n	58650	4.9%
h	57430	4.8%
c	50734	4.2%
Other values (13)	145880	12.2%

Common

Value	Count	Frequency (%)
_	72388	97.0%
:	2261	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1269201	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	163887	12.9%
t	156553	12.3%
i	154530	12.2%
g	142185	11.2%
s	132613	10.4%
_	72388	5.7%
e	71154	5.6%
r	60936	4.8%
n	58650	4.6%
h	57430	4.5%
Other values (15)	198875	15.7%

heating_type
Categorical

MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	25841
Missing (%)	13.9%
Memory size	1.6 MiB

central_heating	91009
district_heating	19280
gas_heating	15171
self_contained_central_heating	12671
floor_heating	12513
Other values (8)	9638

Length

Max length	30
Median length	15
Mean length	15.802511
Min length	9

Characters and Unicode

Total characters	2532858
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	central_heating
2nd row	floor_heating
3rd row	self_contained_central_heating
4th row	self_contained_central_heating
5th row	oil_heating

Common Values

Value	Count	Frequency (%)
central_heating	91009	48.9%
district_heating	19280	10.4%
gas_heating	15171	8.2%
self_contained_central_heating	12671	6.8%
floor_heating	12513	6.7%
oil_heating	3619	1.9%
heat_pump	1760	0.9%
combined_heat_and_power_plant	1580	0.8%
night_storage_heater	1018	0.5%
wood_pellet_heating	717	0.4%
Other values (3)	944	0.5%
(Missing)	25841	13.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
central_heating	91009	56.8%
district_heating	19280	12.0%
gas_heating	15171	9.5%
self_contained_central_heating	12671	7.9%
floor_heating	12513	7.8%
oil_heating	3619	2.3%
heat_pump	1760	1.1%
combined_heat_and_power_plant	1580	1.0%
night_storage_heater	1018	0.6%
wood_pellet_heating	717	0.4%
Other values (3)	944	0.6%

Most occurring characters

Value	Count	Frequency (%)
t	320339	12.6%
e	297360	11.7%
a	296113	11.7%
n	290704	11.5%
i	213985	8.4%
_	192099	7.6%
g	173131	6.8%
h	161300	6.4%
r	139833	5.5%
c	138437	5.5%
Other values (11)	309557	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2340759	92.4%
Connector Punctuation	192099	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	320339	13.7%
e	297360	12.7%
a	296113	12.7%
n	290704	12.4%
i	213985	9.1%
g	173131	7.4%
h	161300	6.9%
r	139833	6.0%
c	138437	5.9%
l	136241	5.8%
Other values (10)	173316	7.4%

Connector Punctuation

Value	Count	Frequency (%)
_	192099	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2340759	92.4%
Common	192099	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	320339	13.7%
e	297360	12.7%
a	296113	12.7%
n	290704	12.4%
i	213985	9.1%
g	173131	7.4%
h	161300	6.9%
r	139833	6.0%
c	138437	5.9%
l	136241	5.8%
Other values (10)	173316	7.4%

Common

Value	Count	Frequency (%)
_	192099	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2532858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	320339	12.6%
e	297360	11.7%
a	296113	11.7%
n	290704	11.5%
i	213985	8.4%
_	192099	7.6%
g	173131	6.8%
h	161300	6.4%
r	139833	5.5%
c	138437	5.5%
Other values (11)	309557	12.2%

number_of_rooms
Real number (ℝ)

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6626693

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	16
Range	15
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.98469852
Coefficient of variation (CV)	0.3698163
Kurtosis	1.7996565
Mean	2.6626693
Median Absolute Deviation (MAD)	1
Skewness	0.61704796
Sum	495584
Variance	0.96963117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
3	70795	38.0%
2	65207	35.0%
4	25144	13.5%
1	18644	10.0%
5	4974	2.7%
6	1018	0.5%
7	225	0.1%
8	79	< 0.1%
9	20	< 0.1%
10	6	< 0.1%
Other values (5)	11	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	18644	10.0%
2	65207	35.0%
3	70795	38.0%
4	25144	13.5%
5	4974	2.7%
6	1018	0.5%
7	225	0.1%
8	79	< 0.1%
9	20	< 0.1%
10	6	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
15	2	< 0.1%
13	2	< 0.1%
12	2	< 0.1%
11	4	< 0.1%
10	6	< 0.1%
9	20	< 0.1%
8	79	< 0.1%
7	225	0.1%
6	1018	0.5%

square_meter
Real number (ℝ)

Distinct	329
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.505037

Minimum	0
Maximum	649
Zeros	35
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	54
median	67
Q3	85
95-th percentile	129
Maximum	649
Range	649
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	30.445359
Coefficient of variation (CV)	0.41990682
Kurtosis	7.8370541
Mean	72.505037
Median Absolute Deviation (MAD)	15
Skewness	1.7672785
Sum	13494855
Variance	926.9199
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	5925	3.2%
70	4498	2.4%
65	4240	2.3%
58	3882	2.1%
57	3786	2.0%
50	3778	2.0%
61	3747	2.0%
55	3612	1.9%
59	3573	1.9%
80	3525	1.9%
Other values (319)	145557	78.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35	< 0.1%
3	1	< 0.1%
6	1	< 0.1%
8	5	< 0.1%
9	10	< 0.1%
10	35	< 0.1%
11	35	< 0.1%
12	83	< 0.1%
13	54	< 0.1%
14	64	< 0.1%

Value	Count	Frequency (%)
649	1	< 0.1%
527	1	< 0.1%
482	1	< 0.1%
480	2	< 0.1%
446	1	< 0.1%
430	1	< 0.1%
423	1	< 0.1%
420	2	< 0.1%
413	1	< 0.1%
400	2	< 0.1%

base_rent
Real number (ℝ)

Distinct	2646
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	634.75968

Minimum	0
Maximum	8700
Zeros	17
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	0
5-th percentile	229
Q1	330
median	480
Q3	785
95-th percentile	1500
Maximum	8700
Range	8700
Interquartile range (IQR)	455

Descriptive statistics

Standard deviation	479.01583
Coefficient of variation (CV)	0.75464124
Kurtosis	18.999186
Mean	634.75968
Median Absolute Deviation (MAD)	181
Skewness	3.1503837
Sum	1.1814338 × 10⁸
Variance	229456.17
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
350	2620	1.4%
450	2362	1.3%
300	2290	1.2%
400	2121	1.1%
650	1887	1.0%
550	1820	1.0%
320	1777	1.0%
500	1684	0.9%
750	1667	0.9%
330	1652	0.9%
Other values (2636)	166243	89.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17	< 0.1%
1	1	< 0.1%
3	4	< 0.1%
4	2	< 0.1%
5	2	< 0.1%
6	3	< 0.1%
10	1	< 0.1%
11	2	< 0.1%
42	1	< 0.1%
50	1	< 0.1%

Value	Count	Frequency (%)
8700	1	< 0.1%
8500	1	< 0.1%
8400	1	< 0.1%
7850	1	< 0.1%
7830	1	< 0.1%
7600	1	< 0.1%
7200	1	< 0.1%
7020	1	< 0.1%
7000	2	< 0.1%
6990	2	< 0.1%

total_rent
Real number (ℝ)

Distinct	3213
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	805.60146

Minimum	0
Maximum	9000
Zeros	214
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	0
5-th percentile	325
Q1	465
median	640
Q3	975
95-th percentile	1785
Maximum	9000
Range	9000
Interquartile range (IQR)	510

Descriptive statistics

Standard deviation	538.97373
Coefficient of variation (CV)	0.66903272
Kurtosis	18.082371
Mean	805.60146
Median Absolute Deviation (MAD)	212
Skewness	3.0563415
Sum	1.4994096 × 10⁸
Variance	290492.69
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
450	1556	0.8%
500	1536	0.8%
600	1427	0.8%
550	1340	0.7%
400	1244	0.7%
490	1220	0.7%
750	1180	0.6%
480	1175	0.6%
470	1166	0.6%
420	1164	0.6%
Other values (3203)	173115	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	214	0.1%
1	12	< 0.1%
2	3	< 0.1%
3	1	< 0.1%
4	5	< 0.1%
6	2	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
20	1	< 0.1%
50	2	< 0.1%

Value	Count	Frequency (%)
9000	1	< 0.1%
8780	1	< 0.1%
8706	1	< 0.1%
8645	1	< 0.1%
8550	1	< 0.1%
8500	1	< 0.1%
8430	1	< 0.1%
8200	1	< 0.1%
7850	1	< 0.1%
7845	1	< 0.1%

service_charge
Real number (ℝ)

ZEROS

Distinct	732
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	149.61397

Minimum	0
Maximum	6045
Zeros	2265
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	95
median	135
Q3	187
95-th percentile	300
Maximum	6045
Range	6045
Interquartile range (IQR)	92

Descriptive statistics

Standard deviation	86.084007
Coefficient of variation (CV)	0.57537412
Kurtosis	136.89001
Mean	149.61397
Median Absolute Deviation (MAD)	45
Skewness	4.1294227
Sum	27846601
Variance	7410.4562
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	9969	5.4%
100	9034	4.9%
200	7663	4.1%
120	7574	4.1%
130	5415	2.9%
140	5148	2.8%
80	4902	2.6%
180	4676	2.5%
90	4469	2.4%
110	4450	2.4%
Other values (722)	122823	66.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2265	1.2%
1	18	< 0.1%
2	14	< 0.1%
5	1	< 0.1%
9	1	< 0.1%
10	6	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	2	< 0.1%
15	14	< 0.1%

Value	Count	Frequency (%)
6045	1	< 0.1%
2150	1	< 0.1%
1977	1	< 0.1%
1920	1	< 0.1%
1837	1	< 0.1%
1800	1	< 0.1%
1740	1	< 0.1%
1700	1	< 0.1%
1580	1	< 0.1%
1540	1	< 0.1%

immoscout_id
Real number (ℝ)

UNIQUE

Distinct	186123
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.065018 × 10⁸

Minimum	28871743
Maximum	1.1571166 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	28871743
5-th percentile	76003942
Q1	1.0645841 × 10⁸
median	1.1106221 × 10⁸
Q3	1.1374517 × 10⁸
95-th percentile	1.155979 × 10⁸
Maximum	1.1571166 × 10⁸
Range	86839917
Interquartile range (IQR)	7286763.5

Descriptive statistics

Standard deviation	13003773
Coefficient of variation (CV)	0.12209909
Kurtosis	7.3399625
Mean	1.065018 × 10⁸
Median Absolute Deviation (MAD)	3686983
Skewness	-2.6246264
Sum	1.9822434 × 10¹³
Variance	1.6909811 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96107057	1	< 0.1%
106362091	1	< 0.1%
112873334	1	< 0.1%
113698989	1	< 0.1%
110476726	1	< 0.1%
111619968	1	< 0.1%
106844375	1	< 0.1%
111072780	1	< 0.1%
111418434	1	< 0.1%
107744065	1	< 0.1%
Other values (186113)	186113	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28871743	1	< 0.1%
29301391	1	< 0.1%
29301750	1	< 0.1%
29370795	1	< 0.1%
29506747	1	< 0.1%
29707618	1	< 0.1%
29718404	1	< 0.1%
29718866	1	< 0.1%
29718867	1	< 0.1%
29718995	1	< 0.1%

Value	Count	Frequency (%)
115711660	1	< 0.1%
115711556	1	< 0.1%
115711546	1	< 0.1%
115711544	1	< 0.1%
115711540	1	< 0.1%
115711539	1	< 0.1%
115711538	1	< 0.1%
115711536	1	< 0.1%
115711535	1	< 0.1%
115711534	1	< 0.1%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	bundesland	city	district	street	zip_code	has_kitchen	balcony	lift	garden	floor	flat_type	telekom_uploadspeed	firing_type	heating_type	number_of_rooms	square_meter	base_rent	total_rent	service_charge	immoscout_id
0	Nordrhein_Westfalen	Dortmund	SchÃ¼ren	Schüruferstraße	44269	False	False	False	True	1.0	ground_floor	10.0	oil	central_heating	4	86	595	840	245.0	96107057
1	Sachsen	Dresden	Ã„uÃŸere_Neustadt_Antonstadt	Turnerweg	1097	False	True	True	False	3.0	apartment	2.4	NaN	floor_heating	3	84	965	1300	255.0	113147523
2	Bremen	Bremen	Neu_Schwachhausen	Hermann-Henrich-Meier-Allee	28213	False	True	False	False	1.0	apartment	NaN	gas	self_contained_central_heating	3	85	765	903	138.0	114751222
3	Sachsen	Mittelsachsen_Kreis	Freiberg	Am Bahnhof	9599	False	False	False	True	1.0	NaN	2.4	NaN	self_contained_central_heating	2	62	310	380	70.0	114391930
5	Baden_WÃ¼rttemberg	Emmendingen_Kreis	Denzlingen	no_information	79211	True	False	False	False	2.0	roof_storey	40.0	oil	oil_heating	2	53	580	690	110.0	106416361
6	Sachsen	Chemnitz	Sonnenberg	Hofer Straße	9130	False	True	False	False	3.0	apartment	40.0	gas	NaN	2	40	219	307	88.0	112923517
7	Sachsen	Mittelsachsen_Kreis	Frankenberg/Sachsen	no_information	9669	False	False	False	True	1.0	NaN	2.4	gas	central_heating	3	80	400	555	155.0	109842225
9	Nordrhein_Westfalen	Hamm	Mitte	no_information	59065	False	False	False	False	4.0	apartment	40.0	oil	central_heating	4	123	950	1150	200.0	101730329
10	Nordrhein_Westfalen	Dortmund	KirchhÃ¶rde	Am Dimberg	44229	False	True	True	False	0.0	ground_floor	2.4	gas	gas_heating	3	87	973	1321	215.0	92798563
11	ThÃ¼ringen	Weimar	SchÃ¶ndorf	Birkenhof	99427	False	True	False	False	4.0	apartment	2.4	district_heating	district_heating	1	37	220	300	80.0	106896167

	bundesland	city	district	street	zip_code	has_kitchen	balcony	lift	garden	floor	flat_type	telekom_uploadspeed	firing_type	heating_type	number_of_rooms	square_meter	base_rent	total_rent	service_charge	immoscout_id
228321	Nordrhein_Westfalen	Neuss_Rhein_Kreis	Neuss	Further Str.	41462	False	False	False	False	4.0	apartment	40.0	natural_gas_light	self_contained_central_heating	3	98	740	920	180.0	113557363
228322	Sachsen_Anhalt	Magdeburg	Hopfengarten	Gustav-Ricker-Str.	39120	False	True	False	False	1.0	other	NaN	heat_supply	central_heating	2	55	380	515	135.0	113358959
228323	Bayern	MÃ¼nchen	Maxvorstadt	no_information	80799	True	True	False	False	0.0	ground_floor	10.0	NaN	district_heating	2	65	1780	1980	100.0	104772937
228324	Hessen	Frankfurt_am_Main	Preungesheim	Gundelandst.	60435	True	True	True	True	2.0	apartment	2.4	district_heating	district_heating	3	90	1255	1480	112.0	106995489
228325	Sachsen_Anhalt	Magdeburg	Cracau	Thomas-Mann-Str.	39114	False	True	False	False	2.0	apartment	40.0	gas:electricity	central_heating	3	57	303	425	98.0	110721511
228326	Sachsen	Zwickau	Nordvorstadt	Mühlpfortstraße	8058	True	False	False	False	3.0	maisonette	40.0	NaN	NaN	2	60	300	440	140.0	111857041
228327	Sachsen	Chemnitz	Kappel	Neefestraße	9119	False	True	False	True	1.0	apartment	40.0	gas	central_heating	2	55	248	368	120.0	91110231
228328	Nordrhein_Westfalen	Essen	Horst	no_information	45279	False	False	False	False	3.0	roof_storey	2.4	gas	gas_heating	3	85	590	670	80.0	115526313
228330	Hessen	BergstraÃŸe_Kreis	Viernheim	no_information	68519	True	True	False	False	1.0	apartment	NaN	gas	gas_heating	4	115	930	1150	220.0	96981497
228331	Hessen	Limburg_Weilburg_Kreis	Limburg_an_der_Lahn	Emsbachstrasse	65552	False	True	False	True	1.0	apartment	40.0	gas	central_heating	4	95	650	930	220.0	66924271

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Other Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Connector Punctuation

Other Number

Currency Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Connector Punctuation

Other Number

Currency Symbol

Open Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Connector Punctuation

Close Punctuation

Open Punctuation

Math Symbol

Other Number

Currency Symbol

Modifier Symbol

Initial Punctuation

Other Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks